Bibliographic record
Abstract
This thesis presents two exclusive production processes in p$\bar{p}$ collisions at √s = 1.96 TeV, using the Collider Detector Facility at Fermi National Accelerator Laboratory. An observation of exclusive e+e- production through γγ → e+e- is presented, as well as evidence for exclusive production of γγ through gg → γγ (via a quark loop). The exclusive e+e- production observation is based on 16 candidate events, with a background estimate of 2.1$+0.7\atop{-0.3}$. Each event has an e+e- pair (ET (e) > 5 GeV, |η(e)| < 2) and nothing else observable in the CDF detector. The measured cross section is 1.6$+0.5\atop{-0.3}$(stat) ± 0.3(sys) pb, while the predicted cross section is 1.711 ± 0.008 pb. The kinematic properties of the events are consistent with the predictions of the LPAIR Monte Carlo. The evidence for exclusive γγ production consists of 3 candidate events, with a background estimate of 0.0$+0.2\atop{-0.0}$ events. Each event has two photons (ETγ) > 5 GeV, |η(γ)| < 1 and nothing else observable in the CDF detector. The measured cross section for these events is 0.14$+0.14\atop{-0.04}$(stat) ± (sys) pb. It agrees with the theoretical prediction of 0.04 pb with a factor 3 to 5 theoretical uncertainty.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".